metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - style
  - glow
  - the protoart
  - protoart
  - dark glow
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: darkprotostyle
widget:
  - text: ' '
    output:
      url: 26147541.jpeg
  - text: ' '
    output:
      url: 26147539.jpeg
  - text: ' '
    output:
      url: 26147540.jpeg
  - text: ' '
    output:
      url: 26165888.jpeg

Flux DarkGlow

Model description

upscaled dataset from my original stable, diffusion XL model

Trigger words

You should use darkprotostyle to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/flux-darkglow', weight_name='Flux_DarkGlow.safetensors')
image = pipeline('`darkprotostyle`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers